Back

Whole-Proteome Tree of Arthropods: An "alignment-free" phylogeny of proteome "books"

JaeJin Choi; Byung-Ju Kim; Sung-Hou Kim

2020-07-12 evolutionary biology
10.1101/2020.07.11.198689 bioRxiv
Show abstract

An "organism tree" of insects, the largest and most species-diverse group of all living animals, can be considered as a conceptual tree to capture a simplified narrative of the complex evolutionary courses of the extant insects. Currently, the most common approach has been to construct a "protein tree", as a surrogate for the organism tree, by Multiple Sequence Alignment (MSA) of highly homologous regions of a set of select proteins to represent each organism. However, such selected regions account for a very small fraction of the whole-proteome of each organism. Information Theory provides a method of comparing two sets of all proteins, two whole-proteomes, without MSA: By treating each whole-proteome sequence as a "book" of amino acid alphabets, the information contents of two whole-proteomes can be quantitatively compared using the text comparison method of the theory, without sequence alignment, providing an opportunity to construct a "whole-proteome tree" of insects as a surrogate for an organism tree of insects. A whole-proteome tree of the insects in this study shows that: (a) all the founders of the major groups of the insects have emerged in an explosive "burst" near the root of the tree, (b) the most basal group of all the insects is a subgroup of Hemiptera consisting of aphids and psyllids, and (c) there are other notable differences in the phylogeny of the groups compared to those of the recent protein trees of insects.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Genome Biology and Evolution
338 papers in training set
Top 0.2%
18.7%
2
Molecular Biology and Evolution
542 papers in training set
Top 0.4%
15.2%
3
Journal of Molecular Evolution
22 papers in training set
Top 0.1%
11.1%
4
PeerJ
308 papers in training set
Top 0.6%
6.3%
50% of probability mass above
5
Molecular Phylogenetics and Evolution
69 papers in training set
Top 0.2%
5.5%
6
eLife
5828 papers in training set
Top 33%
3.3%
7
Ecology and Evolution
267 papers in training set
Top 3%
2.7%
8
Scientific Reports
3612 papers in training set
Top 47%
2.1%
9
BMC Ecology and Evolution
51 papers in training set
Top 0.5%
2.0%
10
PLOS Computational Biology
1863 papers in training set
Top 14%
1.7%
11
BMC Genomics
406 papers in training set
Top 4%
1.7%
12
Frontiers in Ecology and Evolution
69 papers in training set
Top 1%
1.7%
13
Journal of Systematics and Evolution
11 papers in training set
Top 0.1%
1.3%
14
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
1.1%
15
Frontiers in Microbiology
427 papers in training set
Top 7%
1.1%
16
Royal Society Open Science
214 papers in training set
Top 5%
1.1%
17
Peer Community Journal
281 papers in training set
Top 4%
1.0%
18
BMC Biology
265 papers in training set
Top 4%
1.0%
19
Genome Research
468 papers in training set
Top 6%
0.9%
20
Molecular Ecology Resources
171 papers in training set
Top 2%
0.9%
21
GigaScience
212 papers in training set
Top 4%
0.9%
22
iScience
1154 papers in training set
Top 34%
0.9%
23
Proceedings of the Royal Society B: Biological Sciences
393 papers in training set
Top 6%
0.9%
24
PLOS ONE
5266 papers in training set
Top 61%
0.9%
25
Insect Molecular Biology
20 papers in training set
Top 0.3%
0.9%
26
Systematic Biology
144 papers in training set
Top 0.8%
0.6%
27
PLOS Biology
486 papers in training set
Top 14%
0.6%
28
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 44%
0.6%
29
Frontiers in Genetics
230 papers in training set
Top 6%
0.6%